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higher education credits in the subjects of physics, computer science, mathematics, mathematical statistics, or related areas, of which at least 30 credits must be at the advanced (master's) level. Courses
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with chemoreception and sensory biological techniques (SSR, GC-EAD, EAG). •Experience in analytical chemistry (GC-FID, GC-MS). •Experience in or willingness to learn statistical data analyses, data
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, or similar programming languages (or strong skills in another statistics software) Knowledge about the endocannabinoid system, stress responses, post-operative outcomes or psychopharmacology Excellent
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techniques that are useful for the modelling of many real-life systems. These include the development and analysis of stochastic models, computer simulations, differential equations, statistical inference
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FTE, 30 hours per week minimum) and is fixed term up to 31/03/2027. About You You will have extensive expertise in statistics, likely including a PhD, and experience and interest in working in
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risk. These studentships are ideal for candidates with a strong background in computational biology, bioinformatics, population genetics, and statistical genetics and an exceptional interest in
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replacement, statistics and working with joint registry data. You will be based in the Integrative Musculoskeletal Biomechanics (IMSB) research group and join a thriving PhD research community in the School
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program. A doctoral degree or equivalent (Ph.D., ScD., DrPH, M.D., D.V.M., DDS etc) in Epidemiology, Biostatistics/Statistics, Bioinformatics, Genomics, or other relevant disciplines. Knowledge in the areas
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are looking for highly motivated candidates with: A strong academic background in computer science, AI/ML, bioinformatics, or related fields such as mathematics and statistics Experience or strong interest in
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, climate physics, geosciences or a related field; excellent skills in scientific programming and numerical / statistical analysis of simulated and observed data; a versatile mind and openness to work on a